Image Descriptor
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. An Empirical Evaluation of the Local Texture Description Framework-Based Modified Local Directional Number Pattern with Various Classifiers for Face Recognition
ABSTRACT Texture is one of the chief characteristics of an image. In recent years, local texture descriptors have garnered attention among researchers in describing effective texture patterns to demarcate facial images. A feature descriptor titled Local Texture Description Framework-based Modified Local Directional Number pattern (LTDF_MLDN), capable of enco
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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2. Morphological characterization with image analysis of cocoa beverage powder agglomerated with steam
In this study, the morphological characteristics of cocoa beverage powder granules under minimal, average, and maximal process conditions of a steam agglomerator were studied. a stereoscopic microscope coupled to a digital camera was used for the morphological analysis. The images were analyzed to obtain shape and size descriptors. aiming to evaluate the des
Food Sci. Technol. Publicado em: 2014-12
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3. Reconhecimento de texto e rastreamento de objetos 2D/3D / Text recognition and 2D/3D object tracking
In this thesis we address three computer vision problems: (1) the detection and recognition of flat text objects in images of real scenes; (2) the tracking of such text objects in a digital video; and (3) the tracking an arbitrary three-dimensional rigid object with known markings in a digital video. For each problem we developed innovative algorithms, which
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/03/2012
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4. Recuperação de imagens por conteúdo baseada em realimentação de relevância e classificador por floresta de caminhos ótimos / Content-based image retrieval based on relevance feedback and optimum-path forest classifier
Considering the increasing amount of image collections that result from popularization of the digital cameras and the Internet, efficient search methods are becoming increasingly necessary. In this context, this doctoral dissertation proposes new methods for content-based image retrieval based on relevance feedback and on the OPF (optimum-path forest) classi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/07/2011
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5. Characterization of particle sizes in bulk pharmaceutical solids using digital image information
The purpose of this study was to demonstrate a novel method of extracting relevant information from undispersed bulk powder surfaces to be used in particle size analysis. A new surface imaging approach for undispersed powders combined with multivariate modeling was used. Digital surface images of various granule batches were captured using an inventive optic
Springer-Verlag.